Data Analyst with 3 years experience in statistical modeling

Shelly Zhang

Mississauga, ON

LinkedIn • 437-***-**** • *****************@*****.***

SUMMARY

Motivated analyst with three years’ experience in statistical modeling, data visualization and machine learning. Incredibly attentive to detail, ensuring clean data and precise formulas in order to achieve accurate results. Adaptive team member, producing excellent work and collaborating well to achieve group performance. Deadline driven, organized, and practiced at juggling multiple competing priorities. ETL/ Data Manipulation/Quantitative Analysis / Statistical Modeling / Mathematical Prediction Data Visualization / Machine Learning Algorithms/ Data Mining Technical Proficiencies: SAS, SQL, R, Python, SAS Enterprise Guide, Tableau, SPSS, MS Excel (Advanced), Java, AWS, Anaconda

EDUCATION AND TRAINING

Master of Science in Statistics Carleton University, Ottawa, ON GPA: 3.86/4 Coursework: Data Mining, Design of Experiments, Multivariate Analysis, Regression Modeling, Network Performance, Modern Applied and Computational Statistics, Analysis of Categorical Data, Linear Models Bachelor of Mathematics Beijing Forestry University, Beijing, China Exchange Program for Mathematics Yamagata University, Yamagata, Japan PROFESSIONAL EXPERIENCE

Compliance Analyst (1/2018 – 07/2018) Canada Revenue Agency, Ottawa Technical Scope: SAS, R programming, SQL, SPSS, SAS Enterprise Guide In co-op placement, manipulated and analyzed source systems and external data to monitor government programs and initiatives. Assessed impact of programs on tax base. Gathered business insights through analytics and created reports on business needs. Presented on findings to senior analysts and supervisors, utilizing appropriate visualization techniques.

Key Achievements:

Developed profiles of taxpayer population high probability to object to audit through large and high-dimension dataset; optimized model for best performance.

Simplified workflow for auditors by creating algorithms to create targeted list of highest risk tax accounts. Graduate Statistics Analyst (9/2016– 6/2018) Carleton University, Ottawa Technical Scope: R, H20, ggplot2, Ggobi with R and matplotlib, plotly, pandas, Scikit Learn, seaborn (Python), Support Vector Machine, Deep Neural Network, Unsupervised Learning Practiced increasingly advanced statistical analysis and modeling techniques including Time Series, Stochastic Modeling, Unsupervised Learning, Sampling Methodology, and Experimental Design. Developed in depth understanding of mathematics and algorithms involved in machine learning. Undertook individual and team projects utilizing technical and analytical skills. Presented on findings to peers, professors, and clients. Key Projects:

Data Scientist for Indoor Positioning System with Pattern Recognition Techniques: Applied supervised machine learning algorithms to build indoor positioning systems, combining several for improved accuracy. Improved testing performance to 81.55% by utilizing Adaboost, and reduced the model training time to half through reducing dimension. Created non-technical summary of work for use.

Data Analyst for Data Mining on Pima Indian Diabetes Project: Analyzed data to predict factors implicated in causing Pima Indian’s high rate of diabetes. Developed supervised learning models, clustered data, and generated advanced multivariate regression models. Intern Web Architect (8/2015-9/2015) Neusoft Corporation, China Technical Scope: Java, SQL

Designed and created a hotel guestroom management system to enable easier booking, check-in, and check out process.